-
二阶椭圆偏微分方程的差分算法
二阶椭圆偏微分方程的差分算法,适用于求解矩形区域,任意边界条件。(elliptic partial differential equation algorithm applied to solving rectangular region, arbitrary boundary conditions.)
- 2007-07-04 18:43:52下载
- 积分:1
-
NLMF2Dtree
nonlocal mean for 2-D 3-D IMAGE PROCESSING
- 2013-04-05 21:15:28下载
- 积分:1
-
MATLAB-application-in-FPGA
王旭东,靳雁霞编著 《MATLAB及其在FPGA中的应用》国防工业出版社 随书程序(Wang Xudong, Jinyan Xia edited the " MATLAB and its application in the FPGA" National Defense Industry Press with the book program)
- 2013-04-30 20:40:13下载
- 积分:1
-
NetCreate
改进的Salama博士的网络拓扑随机生成算法(Dr Improved Salama random generation algorithm of network topology)
- 2014-03-03 18:27:20下载
- 积分:1
-
newton-chazhi
Newton插值公式实例,改变插值节点个数,观察不同的插值函数的逼近效果.(Instance of the Newton interpolation formula, change the number of interpolation nodes, and observe the different interpolation function approximation.)
- 2012-04-13 15:51:43下载
- 积分:1
-
APSO
带约束因子的粒子群算法在电力系统无功优化中的应用(Constrained factor PSO in Reactive Power Optimization)
- 2013-07-05 19:32:29下载
- 积分:1
-
加入权重系数
为了抑制两电平逆变器输出中产生的共模电压,本算法采用在代价函数中加入相应的权重系数使得共模电压得到抑制(In order to suppress the common-mode voltage generated in the output of two-level inverters, the algorithm uses the corresponding weight coefficient in the cost function to suppress the common-mode voltage.)
- 2018-11-15 16:21:39下载
- 积分:1
-
matlab
matlab应用于捷联惯导系统初始对准滤波技术程序(matlab applies SINS initial alignment procedures Filtering Technique)
- 2009-03-23 15:44:25下载
- 积分:1
-
sparseMRI_v0.2.tar
此代码用于完成MRI图像的压缩采样重建。它是论文"Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging", 2007中的源码(This is an implementation of Compressed Sensing reconstruction for MRI data.
It implements the non-linear conjugate sub-gradient algorithm as described in
the paper "Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging", 2007
Magn Res Med, In Press.
)
- 2010-01-14 10:14:42下载
- 积分:1
-
two_ray_model
Modelo de dos rayos de Andrea Goldsmith (figura 2.5, según expresión
2.12)
f = 0.9 frecuencia en GHz
landa = 0.3/f en m
R = -1 coeficiente de reflexión en tierra
ht = 10 altura del transmisor en m
hr = 2 altura del receptor en m
Gt = 1
Gr = 1
Pt = 1
d=10:.1:100000
phase_diff = 4*pi*ht*hr./(landa*d) aproximación
Pr = Pt*((landa/(4*pi))^2)*((abs((sqrt(Gt)./d) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff)))./d)).^2)
Pr = Pt*((landa/(4*pi))^2)*(1./d).*((abs((sqrt(Gt)) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff))))).^2)
figure(1), clf,
plot((d),10*log10(Pr/max(abs(Pr))))
grid
xlabel( log_1_0(d) )
ylabel( Potencia recibida (dBm) )
- 2010-02-08 06:31:54下载
- 积分:1